Top Software Engineer Jobs in Orlando, FL

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Senior full-stack engineer responsible for architecting, developing, deploying, monitoring, and supporting production capabilities across a React, Node.js, PostgreSQL, Rust, and Azure Kubernetes platform. The role includes delivering AI and LLM features, owning complex technical initiatives, improving reliability and security, contributing to architecture and engineering standards, partnering with stakeholders, and mentoring engineers.

Build and maintain scalable full-stack features for Roo’s veterinary staffing marketplace. Develop across the React Native mobile app and backend services, contribute to architecture, write unit and end-to-end tests, resolve production issues, improve observability and reliability, and support deployments and CI/CD. Collaborate with product, design, data, DevOps, and engineering teams while mentoring junior engineers and driving technical improvements.

Build sample applications, proof-of-concept integrations, and developer tools connecting NICE CXone with partner platforms. Document integration patterns, troubleshoot API and authentication issues, support partner onboarding, and translate partner feedback into product and engineering requirements. The role requires software development experience, REST API integration expertise, web technology knowledge, strong debugging and problem-solving skills, and the ability to communicate with technical and non-technical partners.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Build and ship enterprise WordPress features across frontend and backend, including custom Gutenberg blocks, React components, plugins, themes, PHP, HTML, and CSS. Own tickets from requirements through production, translate Figma designs into responsive experiences, use AI-assisted development responsibly, and collaborate asynchronously in English with distributed engineering, design, and delivery teams.

Lead the Data Products engineering pillar owning technical strategy, clinical data ingestion, canonical modeling, and scalability. Manage ingestion pipelines, customer onboarding, data hygiene, observability, and enterprise reporting. Drive AI-augmented SDLC adoption, ensure regulatory compliance (HIPAA, SOC 2), hire and mentor engineering leaders, and partner with product and data science to deliver a stable, scalable clinical data platform that supports multi-customer growth and clinical insight generation.

Design, develop, implement, support, and improve financial-system integrations, databases, reporting solutions, and automated processes. Lead technical financial systems projects from requirements gathering through implementation, focusing on Aderant Expert, SQL Server, SSIS, SSRS, and T-SQL. Collaborate with Finance, IS, vendors, and business stakeholders; troubleshoot complex data issues, optimize database performance, document technical solutions, and support multiple concurrent initiatives.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.